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                <text>Awasthi, Aishwarya; Tiwari, Raunak; Bajpayee, Prashant; Singh, S.K.; Mishra, Pooja; Mishra, Shailesh</text>
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                <text>Medical Awareness in Telemedicine: A Legal Perspective</text>
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                <text>Awasthi A., Chandigarh University, Uttar Pradesh, Unnao, India; Tiwari R., Chandigarh University, Uttar Pradesh, Unnao, India; Bajpayee P., King George's Medical University, Uttar Pradesh, Lucknow, India; Singh S.K., King George's Medical University, Uttar Pradesh, Lucknow, India; Mishra P., Kashi Vidyapeeth University, India; Mishra S., Christ Deemed University, Delhi NCR, India</text>
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                <text>Artificial neural network (ANN); Discrete wavelet transform (DWT); Magnetic resonance imaging (MRI); Principal component analysis (PCA); Support vector machine (SVM)</text>
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                <text>The main objective of the paper is to review the performance of various machine learning classification technique currently used for magnetic resonance imaging. The prerequisite for the best classification technique is the main drive for the paper. In magnetic resonance imaging, detection of various diseases might be simple but the physicians need quantification for further treatment. So, the machine learning along with digital image processing aids for the diagnosis of the diseases and synergizes between the computer and the radiologist. The review of machine learning classification based on the support vector machine, discrete wavelet transform, artificial neural network, and principal component analysis reveals that discrete wavelet transform combined with other highly used method like PCA, ANN, etc., will bring high accuracy rate of 100%. The hybrid technique provides the second opinion to the radiologist on taking the decision.  Springer Nature Switzerland AG 2019.</text>
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                <text>Merjulah R.; Chandra J.</text>
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                <text>Lecture Notes in Computational Vision and Biomechanics, Vol-30, pp. 1135-1146.</text>
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                <text>ISSN: 22129391</text>
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                <text>Merjulah R., Christ University, Bangalore, India; Chandra J., Christ University, Bangalore, India</text>
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                <text>Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm</text>
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                <text>Blowfish encryption algorithm; Medical image security; PSNR and opposition based flower pollination optimization; Signcryption</text>
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                <text>Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. In this paper, the dual encryption procedure is utilized to encrypt the medical images. Initially Blowfish Encryption is considered and then signcryption algorithm is utilized to confirm the encryption model. After that, the Opposition based Flower Pollination (OFP) is utilized to upgrade the private and public keys. The performance of the proposed strategy is evaluated using performance measures such as Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC).  2018, Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Avudaiappan T.; Balasubramanian R.; Pandiyan S.S.; Saravanan M.; Lakshmanaprabu S.K.; Shankar K.</text>
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                <text>Journal of Medical Systems, Vol-42, No. 11</text>
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                <text>Avudaiappan T., Department of Computer Science and Engineering, K. Ramakrishnan College of Technology, Trichy, Tamilnadu, India; Balasubramanian R., Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India; Pandiyan S.S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Saravanan M., Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India; Lakshmanaprabu S.K., Department of Electronics and Instrumentation Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamilnadu, India; Shankar K., School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India</text>
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                <text>Law Mantra Journal, Vol.1, Issue 10, pp.500-509, ISSN No: 2321-6417.</text>
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                <text>Medicinal Exploitation of Coriandrum sativum L.</text>
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                <text>Coriandrum sativum L. is a potential herb that is commonly known as coriander or Chinese parsley is being possessed to have various medicinal properties. Almost all the parts of the herb have been examined for its effectiveness in various human diseases such as migraine, hypertension and diabetes specifically. The diseases considered for the current review are migraine, hypertension and diabetes, which are highly prevalent as well as major co-morbidity for other clinical conditions. The extracts of different parts of C. sativum have been identified to have roles in treating and managing migraine, hypertension and diabetes. The genetic inter-relationship of C. sativum with the diseases are also being discussed in this review. The literature surf was done in platforms for the journals life science and medicinal research using the keywords C. sativum, herbal medicine, anti-diabetic, anti-hypertensive, migraine, genetics etc. The results obtained through the clinical trials conducted by various researchers globally were satisfactorily acceptable in treating these diseases along with some other diseases to a certain extent, whereas the genetic studies were insignificant. Henceforth, the current literature review highlights the medicinal exploitation of C. sativum in accordance with the treatment and management of migraine, hypertension and diabetes.  2022 Visagaa Publishing House.</text>
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                <text>Natural Resources for Human Health, Vol-2, No. 4, pp. 462-467.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165609754&amp;amp;doi=10.53365%2Fnrfhh%2F147312&amp;amp;partnerID=40&amp;amp;md5=e4cee7d96f05f689810989588e185e49" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165609754&amp;amp;doi=10.53365%2fnrfhh%2f147312&amp;amp;partnerID=40&amp;amp;md5=e4cee7d96f05f689810989588e185e49&lt;/a&gt;</text>
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              <elementText elementTextId="197049">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 25831194</text>
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                <text>Sangeetha T., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, 641046, India; Anand A.V., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, 641046, India; Begum T.N., Department of Biotechnology, Jamal Mohamed College (Autonomous), Tamil Nadu, Trichy, 620020, India; Karthika P., Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, 641 043, India; Arun M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Bala-Muralikrishnan B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea</text>
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                <text>Medicinal plants, phytochemicals, and herbs to combat viral pathogens including sars-cov-2</text>
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                <text>The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome corona virus-2 (SARS-CoV-2), is the most important health issue, internationally. With no specific and effective antiviral therapy for COVID-19, new or repurposed antiviral are urgently needed. Phytochemicals pose a ray of hope for human health during this pandemic, and a great deal of research is concentrated on it. Phytochemicals have been used as antiviral agents against several viruses since they could inhibit several viruses via different mechanisms of direct inhibition either at the viral entry point or the replication stages and via immunomodulation potentials. Recent evidence also suggests that some plants and its components have shown promising antiviral properties against SARS-CoV-2. This review summarizes certain phytochemical agents along with their mode of actions and potential antiviral activities against important viral pathogens. A special focus has been given on medicinal plants and their extracts as well as herbs which have shown promising results to combat SARS-CoV-2 infection and can be useful in treating patients with COVID-19 as alternatives for treatment under phytotherapy approaches during this devastating pandemic situation.  2021 by the authors. Licensee MDPI, Basel, Switzerland.</text>
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                <text>Anand A.V.; Balamuralikrishnan B.; Kaviya M.; Bharathi K.; Parithathvi A.; Arun M.; Senthilkumar N.; Velayuthaprabhu S.; Saradhadevi M.; Al-Dhabi N.A.; Arasu M.V.; Yatoo M.I.; Tiwari R.; Dhama K.</text>
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                <text>Molecules, Vol-26, No. 6</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>Anand A.V., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, India; Balamuralikrishnan B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Kaviya M., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, India; Bharathi K., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, India; Parithathvi A., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, India; Arun M., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Senthilkumar N., Institute of Forest Genetics and Tree Breeding (IFGTB), Forest Campus, Cowley Brown Road, RS Puram, Coimbatore, 641002, India; Velayuthaprabhu S., Department of Biotechnology, Bharathiar University, Coimbatore, 641046, India; Saradhadevi M., Department of Biochemistry, Bharathiar University, Coimbatore, 641046, India; Al-Dhabi N.A., Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Arasu M.V., Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia, Xavier Research Foundation, St. Xaviers College, Palayamkottai, Thirunelveli, 627002, India; Yatoo M.I., Faculty of Veterinary Sciences and Animal Husbandry, Sher-E-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar, 190006, India; Tiwari R., Department of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan (DUVASU), Mathura, 281001, India; Dhama K., Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, India</text>
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                <text>Aponogeton (Aponogetonaceae) is an aquatic genus comprising 60 species distributed in tropical and subtropical regions of the Old World. The species of the genus are traditionally used to treat a wide variety of diseases including cuts and wounds, stomach disorders and reviving digestive system, fungal infections, cough, tuberculosis, acne, cancer, diarrhea, dysentery, jaundice, snake bite, etc. A total of 50 compounds have been isolated from Aponogeton species. Essential oils, fatty acids and waxes, ester, quinones, steroids, terpenes and terpenoids, phenols and phenolics are the important compounds present in this genus. In this review, we provide an overview of the taxonomy, molecular phylogeny, biogeography, traditional medicinal uses, phytochemistry, pharmacological activities and tissue culture of Aponogeton. Other aspects such as the use of some species as model plant for studying programmed cell death (PCD) are also discussed. This review on the medicinal potential of the genus aims at attracting the attention of biologists to this phytochemically less explored plant group. The knowledge gaps in different areas of research and future perspectives are also discussed.  2022 SAAB</text>
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                <text>South African Journal of Botany, Vol-149, pp. 994-1007.</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>Chougule R.N., Angiosperm Taxonomy Laboratory, Department of Botany, Shivaji University, Maharashtra, Kolhapur, 416004, India; Surveswaran S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Yadav S.R., Angiosperm Taxonomy Laboratory, Department of Botany, Shivaji University, Maharashtra, Kolhapur, 416004, India; Lekhak M.M., Angiosperm Taxonomy Laboratory, Department of Botany, Shivaji University, Maharashtra, Kolhapur, 416004, India</text>
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                <text>In the dynamic field of medicine, combining blockchain technology and data security becomes a vital strategy to solve the problem of protecting sensitive medical data. This study presents a new way to improve the security and privacy of medical data, using MediCrypt as an example of two- way encryption. Doctors initially used algorithms like AES or Blowfish to retrieve medical data. Smart contracts on the Ethereum-based blockchain introduce a layer of protection, combining SHA-256 with symmetric encryption technology. The multi-level transmission model includes encryption time, encryption time, elapsed time, and encryption size. Functionality in this model involves managing patient records (EHR), counterfeit drugs, drug reviews, clinical outcomes, and consent for all care areas. As shown in the methodology, the user ecosystem facilitates the exchange of information by defining the roles and responsibilities of doctors/pharmacists, administrators, and patients. The study shows the deployment of the MediCrypt model in three distinct stages. Distinct comparison of encryption time is done for different encryption algorithms. Also, parameters of MediCrypt model is compared with existing healthcare based blockchain models.   2024 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Kunnumpurath B., Department of Media Studies, CHRIST (Deemed to be University), Bengaluru, India; Paul A., Department of Media Studies, CHRIST (Deemed to be University), Bengaluru, India; Menon V.A., Department of Education, Institute for Educational and Developmental Studies (IEDS), Uttar Pradesh, Noida, India</text>
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                <text>This chapter examines how immersion in virtual reality (VR) affects the psychological well-being, perceived interactivity, and positive thinking of young adults. Using a questionnaire adapted from Katy Tcha-Tokey's VR survey and established scales by Sally J. McMillan, Jang-Sun Hwang, and Diener, data was collected from 224 students at Christ University. Participants engaged in a VR meditation session using Meta Quest 2 headsets. Results indicated stronger correlations between immersion and psychological well-being (r = 0.511) and positive thinking (r = 0.485) compared to perceived interactivity (r = 0.319). Regression analyses confirmed immersion's predictive power for psychological well-being (? = 0.511, R2 = 0.261) and perceived interactivity (? = 0.485, R2 = 0.236), with lesser impact on positive thinking (R2 = 0.101). The study suggests that VR immersion notably influences psychological well-being and perceived interactivity among young adults.  2026 Scrivener Publishing LLC.</text>
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                <text>immersion; Meditation; perceived interactivity; positive thinking; psychological well-being; VR; young adults</text>
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                <text>Recent years have brought a heightened awareness of skin cancer as a potentially fatal type of human disease. While all three forms of skin cancer - Melanoma, Basal, and Squamous are terrifying, Melanoma is the most erratic. Melanoma cancer is curable if caught at an early stage. Multiple current systems have demonstrated that computer vision can play a significant role in medical image diagnosis. This study suggests a new approach to picture categorization that can help convolutional neural networks train more quickly (CNN). CNN has seen widespread use in multiclass image classification datasets, but its poor learning performance for huge volumes of data has limited its usefulness. On the other hand, whereas Regularized Extreme Learning Machine (RELM) are capable of rapid learning and have strong generalizability to improve their recognized accuracy quickly. This study introduces a novel CNN-RELM, a novel classifier that integrates convolutional neural networks with regularized extreme learning machines. CNN-RELM begins by training a Convolutional Neural Network (CNN) through the gradient descent technique until the desired learning and target accuracy is achieved. This approach outperforms the CNN and RELM model with an accuracy of around 98.6%.   2023 IEEE.</text>
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                <text>Subramanian M., Sri Sairam Engineering College, Department of Electronics and Instrumentation Engineering, Tamilnadu, Chennai, India; Walid M.A.A., Khulna University of Engineering and Technology (KUET), Khulna, 9203, Bangladesh; Mallick S.P., Koneru Lakshmaiah Education Foundation, Kl University, Department of Biotechnology, Andhra Pradesh Green Fields, India; Rastogi R., Nielit, Uttara Pradesh, Gorakhpur, India; Chauhan A., Deemed to Be University, Christ, Department of Life Sciences, Karnataka, Bengaluru, India; Vidya A., K. Ramakrishnan College of Engineering, Department of Electronics and Communication Engineering, Tamilnadu, India</text>
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                <text>Sowhnthariya M., Department of Life Sciences, Christ University, Bangalore, India; Thomas T., Department of Life Sciences, Christ University, Bangalore, India, Centre for Landscapes, Wildlife and Marine Ecology (CLIME), Department of Life Sciences, Christ University, Bangalore, India</text>
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            <description>An account of the resource</description>
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                <text>Heavy metal contamination of soils poses a significant risk to food safety by accumulating toxic metals in edible crops, such as leafy vegetables. This study tested whether melatonin seed priming reduces chromium accumulation while maintaining plant performance in Spinacia oleracea cultivar Arka Anupama under controlled and polyhouse conditions. Melatonin priming improved seedling growth under chromium stress, with 50-micromolar melatonin treated plants showing better performance. Under polyhouse conditions, 50 micromolar melatonin increased leaf number to 5.25  0.55 compared with 3.75  0.29 in chromium-stressed plants (40% increase), and improved leaf area to 3.70  0.35 cm2 in 100 micromolar melatonin-treated plants compared with 2.27  0.03 cm2 in chromium-stressed plants (63% increase). The chlorophyll normalized difference vegetation index increased from 0.15  0.04 in chromium-stressed plants to 0.26  0.01 in 50 micromolar melatonin-primed plants, representing approximately 78% improvement (significant p &amp;lt;.05). Atomic absorption spectroscopy analysis showed a 42.9% reduction in leaf chromium content following 50-micromolar treatment. Spectral analysis revealed stress-associated variations, including a 512515 cm?1 band under chromium stress. These findings indicate that melatonin priming improves plant growth and reduces chromium accumulation in spinach, with 50 micromolar showing the most consistent response.  2026 Taylor &amp;amp; Francis Group, LLC.</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Crop resilience; heavy metal toxicity; leafy vegetable; stress tolerance</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="213571">
                <text>Taylor and Francis Ltd.</text>
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            <description>A related resource</description>
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                <text>ISSN: 19315260;</text>
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                <text>English</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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            <name>Format</name>
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                <text>online</text>
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